BAYESIAN NETWORK APPROXIMATION PROCESSOR

摘要

PPROBLEM TO BE SOLVED: To provide a bayesian network approximation processor for performing bayesian network approximation processing. PSOLUTION: The processor comprises: a sensitivity data input receiving means for receiving the input of sensitivity data; a validity reference data input receiving means for receiving the input of validity reference data; an input record input receiving means for receiving the input of an input record; an experience record input receiving means for acquiring an experience record; an arithmetic means for calculating the total of multiplication by weighting with the sensitivity data given at every field concerning the input record and the experience record, as validity relative to each experience record at every experience record, classifying the experience records at every kind of validity reference data, and defining the value of an output value field in the experience record classified to high validity reference as output data; and an output means for receiving the output data from the arithmetic means and outputting it. PCOPYRIGHT: (C)2005,JPO&NCIPI